* is present; an empty immutable {@link Set} otherwise.
   *
   * <p><b>Comparison to {@code java.util.Optional}:</b> this method has no equivalent in Java 8's
   * {@code Optional} class. However, this common usage:
   *
   * {@snippet :
   * for (Foo foo : possibleFoo.asSet()) {
   *   doSomethingWith(foo);
   * }
   * }
   *
   * ... can be replaced with:
   *
   * {@snippet :

- Relaxed API validation for usage `key encipherment` and `kubelet` uses requested usages accordingly ([#111660](https://github.com/kubernetes/kubernetes/pull/111660), [@pacoxu](https://github.com/pacoxu))

 * The getData method returns the data extracted from AccessResultData. It can return either a String representation of the XML or a Map/Bean representation based on the configured dataClass.
 * </p>
 *
 * <p>
 * Example Usage:
 * </p>
 *
 * <pre>
 * XmlTransformer transformer = new XmlTransformer();
 * transformer.setNamespaceAware(true);
 * transformer.setCacheDuration(30);
 * transformer.addFieldRule("title", "/book/title/text()");

// can be disabled via the corresponding `s3HFlag`.
//
// CAUTION: for requests involving large req/resp bodies ensure to pass the
// `traceHdrsS3HFlag`, otherwise both headers and body will be traced, causing
// high memory usage!
func s3APIMiddleware(f http.HandlerFunc, flags ...s3HFlag) http.HandlerFunc {
	// Collect all flags with bitwise-OR and assign operator
	var handlerFlags s3HFlag
	for _, flag := range flags {
		handlerFlags |= flag

	// See #26462, #25907, #47276, #48398 for history.
}

// The readOp constants describe the last action performed on
// the buffer, so that UnreadRune and UnreadByte can check for
// invalid usage. opReadRuneX constants are chosen such that
// converted to int they correspond to the rune size that was read.
type readOp int8

// Don't use iota for these, as the values need to correspond with the

### Other (Cleanup or Flake)

/// tip

Pydantic has a special behavior when you use `Optional` or `Union[Something, None]` without a default value, you can read more about it in the Pydantic docs about <a href="https://docs.pydantic.dev/2.3/usage/models/#required-fields" class="external-link" target="_blank">Required Optional fields</a>.

///

## Type Hints with Metadata Annotations { #type-hints-with-metadata-annotations }

			Description: "manage global HTTP API call specific features, such as throttling, authentication types, etc.",
		},
		config.HelpKV{
			Key:         config.ScannerSubSys,
			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},
		config.HelpKV{

A group's DN may be associated with an [access policy](#managing-usergroup-access-policy).

#### Nested groups usage in LDAP/AD
If you are using Active directory with nested groups you have to add LDAP_MATCHING_RULE_IN_CHAIN: :1.2.840.113556.1.4.1941: to your query.
For example:
```shell

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "Usage [{{bucket}}]",
          "refId": "A"
        }
      ],
      "title": "Usage Rate",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },